Chinese Character Recognition Based on Character Reconstruction

被引：1
|
作者：
Yun Li [1 ]
Mei Xie [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Sichuan, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II | 2009年
关键词：
D O I：
10.1109/ICCCAS.2009.5250422
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A completely new and effective algorithm for Chinese character recognition is proposed in this paper. The recognition is based on character reconstruction. And then we can obtain a new normalized character. Through character reconstruction we can reduce the error brought. by the blur and the tilt of the original image. We first obtain the structure information of the original character and then we reconstruct a new character according to our rules. The structure information includes the information of the horizontal lines, the vertical line, the bias lines and dot. Then we compare the sample character and the template character and obtain the recognition result. A large number of experiments prove the robustness and high performance of the algorithm. The recognition rate of this algorithm is 96%. It can bear image's blur and tilt.
引用
收藏
页码：460 / 463
页数：4
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